From 7531e7118e4e9da2ca78e8728d81c76e5be9b870 Mon Sep 17 00:00:00 2001 From: Absobel Date: Mon, 31 May 2021 16:26:26 +0200 Subject: [PATCH] oui --- MyNetwork | 1 + README.md | 13 ++ RUN.py | 18 ++ expand_mnist.py | 60 +++++++ mnist.pkl.gz | Bin 0 -> 17051982 bytes mnist_average_darkness.py | 64 +++++++ mnist_loader.py | 78 +++++++++ mnist_svm.py | 28 +++ network.py | 152 ++++++++++++++++ network2.py | 360 ++++++++++++++++++++++++++++++++++++++ network3.py | 311 ++++++++++++++++++++++++++++++++ test.py | 210 ++++++++++++++++++++++ 12 files changed, 1295 insertions(+) create mode 100644 MyNetwork create mode 100644 README.md create mode 100644 RUN.py create mode 100644 expand_mnist.py create mode 100644 mnist.pkl.gz create mode 100644 mnist_average_darkness.py create mode 100644 mnist_loader.py create mode 100644 mnist_svm.py create mode 100644 network.py create mode 100644 network2.py create mode 100644 network3.py create mode 100644 test.py diff --git a/MyNetwork b/MyNetwork new file mode 100644 index 0000000..1d9e16d --- /dev/null +++ b/MyNetwork @@ -0,0 +1 @@ +{"biases": [[[1.183645377912694], [1.541071452072365], [-0.5482142865053086], [-0.4263011186224831], [-0.4193485258871833], [1.005684147338177], [0.5139337603773871], [-1.740199316855182], [0.2830696339526166], [-0.7689200921071063], [0.8767521961777575], [0.02158526542545037], [0.10113835382429517], [-1.4448127233825374], [-0.3003703116572324], [0.8038395420201414], [1.1603425521258093], [-1.2852449693928831], [0.4339771733611693], [0.67754121549618], [0.5042476753583696], [0.893494416269056], [0.2141668562127046], [0.7299279107999567], [0.8575803695752187], [-0.5268023763350774], [-0.5703622665320027], [-0.4116065213109033], [-0.7950273792161265], [0.7595001398185317]], [[0.755187651383335], [-1.3309948448868147], [-0.09940448025636942], [-1.2516968665340102], [1.3901510117598836], [-1.0083382770901905], [-0.6247002897855066], [-2.996847460934992], [-0.6100039812812189], [-0.46931745195645214]]], "cost": 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0.2918281309244995, 0.17296639910994083, 3.301429009948574]]], "sizes": [784, 30, 10]} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..aa618b0 --- /dev/null +++ b/README.md @@ -0,0 +1,13 @@ +## Overview + +### neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support + +These scrips are updated ones from the **neuralnetworksanddeeplearning.com** gitHub repository in order to work with Python 3.5.2 + +The testing file (**test.py**) contains all three networks (network.py, network2.py, network3.py) from the book and it is the starting point to run (i.e. *train and evaluate*) them. + +## Just type at shell: **python3.5 test.py** + +In test.py there are examples of networks configurations with proper comments. I did that to relate with particular chapters from the book. + + diff --git a/RUN.py b/RUN.py new file mode 100644 index 0000000..2b65cb7 --- /dev/null +++ b/RUN.py @@ -0,0 +1,18 @@ +#RUN + +import mnist_loader +training_data, validation_data, test_data = mnist_loader.load_data_wrapper() + +import network + +# net = network.Network([784, 30, 10]) #Testé : 94,56% +# net.SGD(training_data, 30, 10, 3.0, test_data=test_data) + +net = network.Network([784, 100, 10]) #Marche mieux apparemment +net.SGD(training_data, 30, 10, 3.0, test_data=test_data) + +# net = network.Network([784, 100, 10]) #Marche pas bien apparemment +# net.SGD(training_data, 30, 10, 0.001, test_data=test_data) + +# net = network.Network([784, 30, 10]) #Marche pas du tout apparemment +# net.SGD(training_data, 30, 10, 100.0, test_data=test_data) \ No newline at end of file diff --git a/expand_mnist.py b/expand_mnist.py new file mode 100644 index 0000000..d217dc1 --- /dev/null +++ b/expand_mnist.py @@ -0,0 +1,60 @@ +"""expand_mnist.py +~~~~~~~~~~~~~~~~~~ + +Take the 50,000 MNIST training images, and create an expanded set of +250,000 images, by displacing each training image up, down, left and +right, by one pixel. Save the resulting file to +../data/mnist_expanded.pkl.gz. + +Note that this program is memory intensive, and may not run on small +systems. + +""" + +from __future__ import print_function + +#### Libraries + +# Standard library +import cPickle +import gzip +import os.path +import random + +# Third-party libraries +import numpy as np + +print("Expanding the MNIST training set") + +if os.path.exists("../data/mnist_expanded.pkl.gz"): + print("The expanded training set already exists. Exiting.") +else: + f = gzip.open("../data/mnist.pkl.gz", 'rb') + training_data, validation_data, test_data = cPickle.load(f) + f.close() + expanded_training_pairs = [] + j = 0 # counter + for x, y in zip(training_data[0], training_data[1]): + expanded_training_pairs.append((x, y)) + image = np.reshape(x, (-1, 28)) + j += 1 + if j % 1000 == 0: print("Expanding image number", j) + # iterate over data telling us the details of how to + # do the displacement + for d, axis, index_position, index in [ + (1, 0, "first", 0), + (-1, 0, "first", 27), + (1, 1, "last", 0), + (-1, 1, "last", 27)]: + new_img = np.roll(image, d, axis) + if index_position == "first": + new_img[index, :] = np.zeros(28) + else: + new_img[:, index] = np.zeros(28) + expanded_training_pairs.append((np.reshape(new_img, 784), y)) + random.shuffle(expanded_training_pairs) + expanded_training_data = [list(d) for d in zip(*expanded_training_pairs)] + print("Saving expanded data. This may take a few minutes.") + f = gzip.open("../data/mnist_expanded.pkl.gz", "w") + cPickle.dump((expanded_training_data, validation_data, test_data), f) + f.close() diff --git a/mnist.pkl.gz b/mnist.pkl.gz new file mode 100644 index 0000000000000000000000000000000000000000..059aba0d982e20e2ac125a3a59d89c3c2cd8b28a GIT binary patch literal 17051982 zcmW(*dpy(s_pekwr7WrBx*}9=A$Qv)qI=XqY|JkRq0BmVmj{awjwpOB~5OSr$PkGsddr8>YI z-U`Tv9BaCAtVaC3)7keT?nGi|K7L z_S@6*2+(%>XcmMs`28n)bgf+uVOYgjjvm2KngF2cjo7vo+iFJKXb)|eoqlNEGI0sp zU&yDwA6?lFCfF6Xz0D1*2^!!BZ~g+|5}>w)8yzhOMvW`ycnwXHo8x4?T+U2nrTX;C z=qzdbbZb%UxxsPy~1x>_OOfd&oi3b zOp}V}x8K3iDJl9+dWwwc%4@zdx1a*>f|ZO#^gAENIi$m>3DXHwajVSZGgg6M1Urok zv5cJW+PC-??%XZ z-W^ZIT>gw=UQtkHG}RccT^NIP5-(Z+%77x;YjcivBJKf+*~N~W(O!u>W<|VtwAEYh zJ{;V>3Dm-hHW+A7SZ*u7yR}m?4bS_$_Pjoo<`a!onjcH40*p>CQM$OJpfu#t`9!hQ zL+pfCgn%oR!cxQ?8#|Tx8?t-fRorM5TlwnDCbRS8zlpwPR$8z@)d3(YZfbF*#emGM zU*4uJ2A2EEb7zyc&~tY9f>*4uf!Bc13us8?gNYgN{JHMmr^68do``wLTNM82ro(}@1^!6^S^ 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